Machine learning model detects cardiac amyloidosis on bone scintigraphy with high accuracy
</think>
This development and validation study assessed a machine learning model (Amylo-Detect) in 11,616 patients referred for bone scintigraphy. Th…
A new AI system scans medical records to find hidden heart disease risk before symptoms appear in patients for doctors to act quickly.
Systematic review and meta-analysis evaluates RELAPS pattern diagnostic accuracy in cardiac amyloidosis
Heart Scan Trick Helps Catch Hidden Heart Disease Early
This systematic review and meta-analysis evaluates the diagnostic accuracy of the left ventricular relative apical sparing (RELAPS) pattern …
A new heart scan pattern helps doctors find hidden protein buildup in the heart muscle much faster today for patients.
Cardiac MRI parametric mapping aids cardiac amyloidosis diagnosis in advanced renal dysfunction cohorts.
MRI Works for Heart Amyloid Even With Kidney Failure
This single-institution cohort study evaluated 65 patients with advanced renal dysfunction (ARD) using cardiac MRI (CMR) to diagnose cardiac…
Cardiac MRI can accurately diagnose heart amyloidosis in patients with severe kidney failure, offering a reliable option where standard scan…
Multimodality cardiac imaging aids differentiation between hypertrophic cardiomyopathy and cardiac amyloidosis
Imaging helps doctors tell apart two heart conditions causing thickened heart muscle
A narrative review synthesizes evidence on using echocardiography and cardiac MRI to distinguish hypertrophic cardiomyopathy (HCM) from card…
Heart imaging reveals distinct patterns that help doctors tell apart two thickened heart conditions requiring very different treatments.